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ASA President Bonilla-Silva takes exception with Chief Justice Roberts' 'gobbledygook' jab

Nobel laureate Angus Deaton, David Lam, and colleagues discuss global poverty, 10/5, 4pm

James Jackson named inaugural recipient of U-M Diversity Scholar Career Award

HomeLab grand opening

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Next Brown Bag

Mon, Oct 23, 2017, noon: Carol Shiue, "Social Mobility in China, 1300-1800"

Data Science with Social Science data: building predictive models using Python's Scikit-learn

a Workshop

Friday, 10/27/2017, 2:00 pm to 4:00 pm

Location: Modern Language Bldg, Room 2001A

This CSCAR workshop covers the essential steps to building a predictive model in Python. We will start with an introductory explanation of Anaconda and the Jupyter notebook environment (although not required for the participant, the instructor will be using these tools). We will proceed with topics including: creation and manipulation of Pandas DataFrames and Matplotlib objects and; creation and interpretation of predictive models using Python’s Scikit-learn. Although not required, we recommend that participants have a basic knowledge of Python and Pandas DataFrames.

Instructor: Márcio Mourão

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